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Record W2587625487 · doi:10.7202/1038690ar

Quand les médias traduisent la crise : les métaphores utilisées par la presse généraliste pendant la crise des subprimes

2017· article· fr· W2587625487 on OpenAlexaffvenueabout
Pier-Pascale Boulanger

Bibliographic record

VenueMeta Journal des traducteurs · 2017
Typearticle
Languagefr
FieldArts and Humanities
TopicLinguistics and Discourse Analysis
Canadian institutionsConcordia University
Fundersnot available
KeywordsPolitical scienceHumanitiesPhilosophy

Abstract

fetched live from OpenAlex

Dans la couverture médiatique de la crise des prêts hypothécaires à risque (dits subprimes ) qui a éclaté en août 2007, la traduction s’est trouvée mobilisée du fait que les déclencheurs de cette crise étaient d’origine américaine et ont dû être expliqués par les journalistes canadiens aux lectorats anglophones et francophones. Pour présenter avec une économie de moyens des concepts compliqués et souligner la gravité de la situation, les journalistes ont recouru aux métaphores de l’accident, du cataclysme, de la catastrophe et de l’épidémie. Après analyse des métaphores conceptuelles trouvées dans La Presse, Le Devoir, The Toronto Star et The Globe and Mail, l’article démontre que, loin d’être banales, elles confortent une idéologie néolibérale de l’économie.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.012
Threshold uncertainty score0.044

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.003
Science and technology studies0.0060.027
Scholarly communication0.0120.012
Open science0.0010.004
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0060.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.152
GPT teacher head0.333
Teacher spread0.181 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations10
Published2017
Admission routes3
Has abstractyes

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Same venueMeta Journal des traducteursSame topicLinguistics and Discourse AnalysisFrench-language works237,207